Weiming Lv
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Circular RNAs in diseases 3
- Cancer-related gene regulation 2
- Angiogenesis and VEGF in Cancer 2
- Epigenetics and DNA Methylation 2
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- Thyroid Cancer Diagnosis and Treatment 11
- Co-authors
- Shenming Wang (5 shared papers)Maoguang Ma (5 shared papers)Bo Lin (12 shared papers)Guangqi Chang (2 shared papers)Mao Ouyang (2 shared papers)Jieyi Ma (2 shared papers)Haipeng Xiao (18 shared papers)Nu Zhang (2 shared papers)
- Journals
- Annals of Translational Medicine (2 papers)Molecular Cancer (2 papers)Oncogene (2 papers)BMC Cancer (2 papers)Annals of Vascular Surgery (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weiming Lv
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 400
- Endocrinology, Diabetes and Metabolism 255
- Molecular Biology 566
- Oncology 135
- Surgery 142
Countries citing papers authored by Weiming Lv
This map shows the geographic impact of Weiming Lv's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weiming Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Lv more than expected).
Fields of papers citing papers by Weiming Lv
This network shows the impact of papers produced by Weiming Lv. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weiming Lv. The network helps show where Weiming Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiming Lv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 163 | |
| 2 | 2020 | 134 | |
| 3 | The incidence and survival analysis for anaplastic thyroid cancer: a SEER database analysis. | 2019 | 106 |
| 4 | 2017 | 94 | |
| 5 | 2021 | 83 | |
| 6 | 2021 | 79 | |
| 7 | 2014 | 76 | |
| 8 | 2009 | 67 | |
| 9 | 2010 | 49 | |
| 10 | 2022 | 31 | |
| 11 | 2019 | 30 | |
| 12 | Immunotherapy in anaplastic thyroid cancer. | 2020 | 27 |
| 13 | 2020 | 26 | |
| 14 | 2019 | 22 | |
| 15 | 2022 | 21 | |
| 16 | 2023 | 19 | |
| 17 | 2023 | 18 | |
| 18 | 2015 | 17 | |
| 19 | 2021 | 14 | |
| 20 | 2020 | 13 |
About Weiming Lv
Weiming Lv is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery and Pathology and Forensic Medicine, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Circular RNAs in diseases (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related gene regulation (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Aortic aneurysm repair treatments (2 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Cancer Research (400 citations), Endocrinology, Diabetes and Metabolism (255 citations), Molecular Biology (566 citations), Oncology (135 citations) and Surgery (142 citations). Weiming Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shenming Wang, Maoguang Ma, Bo Lin, Guangqi Chang, Mao Ouyang, Jieyi Ma, Haipeng Xiao, Nu Zhang, Jie Li and Songqi Li. Their work appears in journals such as Annals of Translational Medicine, Molecular Cancer, Oncogene, BMC Cancer and Annals of Vascular Surgery.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.